Behaviour of displacement, cast-in-place piles on collapsible soil

The paper presents the results of instrumented compression load tests carried out in three uncased cast-in-place piles (pounded piles, called apiloadas in Brazil) which is largely used in interior part of the state of São Paulo. The tests were conducted with the soil in the natural condition and after soaking with water, before loading, in order to evaluate the influence of the soil collapsibility in the results. The values of the ultimate loads (total, point and lateral loads) obtained in the tests are presented and compared with the values predicted by empirical methods that utilize SPT and CPT results.

Parâmetros geotécnicos e previsão da capacidade de carga de estacas apiloadas em solo tropical arenoso obtidos com o Pressiômetro Ménard

This paper presents and discusses Ménard Pressuremeter test results used to predict bearing capacity of pounded piles installed in a tropical sandy soil. Fifteen pre-bored pressuremeter tests were carried out at the Experimental Research Site from Unesp - Bauru up to 15 m depth, one test per meter. Several laboratory and in situ tests were carried out in this research site as well as load tests on plates and on piles. Pressuremeter test results were firstly analyzed to determine geotechnical soil parameters based on empirical methods, emphasizing the estimative of the earth pressure coefficient at rest (K0). After that, bearing capacity prediction of pounded piles with 4 m, 7 m and 10 m were made and compared with test results from instrumented load tests. Pressuremeter test results allowed a very good estimative of bearing capacity for the pile with 4 m length and underestimated in 25,7% and 20,0% the bearing capacity for the pile with 7 and 10 m length, respectively. The back analysis of the test results suggests that the appropriate value for the bearing capacity factor for the tested soil-pile system on this soil is equal to 2.

Multiple minima hypersurfaces procedures for biomimetic ligands screening

In this work the interaction of the pesticide carbaryl with two groups of biomimetic ligands, peptides and MIPs was screened by multiple minima hypersurfaces (MMH) procedures, through the AM1 semiempirical method. Data related to the properties of the molecular association of the complex biomimetic ligand-pesticide were obtained and compared with another molecular modeling algorithm named Leapfrog, as included in the Sybyl software package, and experimental results from the literature, remarking good correlation between them. All important MMH program parameters (cells number, box size, conformers) were studied and optimized with the aim of getting the minimum computation time without losing the correlation with experimental data. The data demonstrated that MMH approach can be used as a fast biomimetic ligand screening tool for MIPs. In the case of peptides the computation time was not comparable with the molecular dynamics methods conventionally used for this approach. © 2011 Springer Science+Business Media B.V.

Japoneses aqui, brasileiros lá?: uma leitura sobre (e dos) dekasseguis

Pós-graduação em Geografia - FCT

Estudo de formulação de massas através do controle da mistura: argilas aluvionares do pólo cerâmico de Russas-Ceará

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Mapeamento da condutividade hidráulica da cobertura do aquífero Guarani, situado na bacia hidrográfica dos rios Jacaré-Guaçú e Jacaré-Pepira, na porção centro-norte do estado de São Paulo

Given the importance of preserving the water quality of the Guarani Aquifer, the work done in the hydrographic basin of the rivers Jacaré-Guaçú e Jacaré-Pepira, located in the central-northern São Paulo state, was made to map the hydraulic conductivity from the use of some empirical methods associated with granulometric analysis and in situ testing, specifically with the Guelph permeameter. All results were submitted to a correlation analysis and subsequently mapped using the methodology of minimum curvature, based on numerical techniques Spline. These procedures provide for studies of aquifer vulnerability and assist in decision making in environmental projects and guidelines for urban planning

Controle de velocidade de um motor de indução trifásico usando técnicas de ajuste empírico para bancada de teste no laboratório de automação

This work aims to make the closed loop control of a three phase induction motor, through the integration of the following equipment: a frequency inverter, the actuator system; a programmable logic controller (PLC), the controller; an encoder, the velocity sensor, used as a feedback monitoring the control variable and the three-phase induction motor, the plant to be controlled. The control is performed using a Proportional - Integrative - Derivative (PID) approach. The PLC has a help instruction, which performs the auto adjustment of the controller, that instruction is used and confronted with other adjustment methods. There are several types of methods adjustments to the PID controllers, where the empirical methods are addressed in this work. The system is deployed at the Interface and Electro Electronic Control laboratory in the Universidade Estadual Paulista Júlio Mesquita Filho, Guaratinguetá, São Paulo, then, in the future, this work becomes an experiment to be conducted in the classroom, allowing undergraduate students to develop a greater affinity to the programs used by the PLC as well as studies of undergraduate and graduate works with the help of assembly made

Atividade antimicrobiana de plantas medicinais e aromáticas pertencentes à CPMA - Coleção de Plantas Medicinais e Aromáticas do CPQBA - UNICAMP

The increase of the antimicrobial resistance and its propagation around the world are the biggest threats to the public health care and to the treatment of diseases caused by microorganisms. Nowadays the antimicrobial resistance has increased abruptly. The essential oils are volatile and aromatic compounds derived from parts of plants as flowers, leafs, fruits, seeds, roots, sprouts, among others. The activity of extracts and essential oils of several plant species have been recognized and studied by empirical methods since a long time, but its antimicrobial activities were confirmed recently. Medicinal plants are used in folk medicine as medicines, antibiotic, analgesic, sedative and anti-inflammatory. The use of medicinal plants like source of medicines is an alternative of therapeutics for diseases treatment. In Brazil, studies with this goal are very important, once medicinal plants have been used as a choice of treatment and prevention of infections and diseases in health areas. Considering the fact that some products from medicinal plants have antimicrobial properties it is expected that using screening programs, new potential medicaments could be developed. Otherwise, scientific researches focused on determining therapeutic potential of plants are limited, there are lack of scientific studies which confirms the potential antibiotics properties of a large number of plants. The aim of the present study is determinate the antimicrobial activity of 10 medicinal species belonging to CPMA - Collection of Medicinal and Aromatic Plants from CPQBA/UNICAMP. The minimal inhibitory (MIC) and minimal bactericidal or fungicidal concentration (MBC) will be determined against the bacteria Escherichia coli, Pseudomonas aeruginosa, Salmonella choleraesuis, Staphylococcus aureus and the yeast Candida albicans. Furthermore, will be conducted chemical identification and fractionation of essential oils and extract with better activity

Métodos Semi-Empíricos: princípios básicos e aplicações

Pós-graduação em Física - IGCE

Determinação comparativa do grau de deformação plástica aplicado a componentes obtidos por conformação

The manufacturing process of components of Pressure Vessels has a great importance in the efficiency during the operation and life cycle of the equipment. Taking this into account, the objective of this dissertation was to analyze the methods to determine the strain rate in formed components by measuring the components themselves, and posterior results comparison with the values found in manufacturing standards of Pressure vessels. In this study the whole manufacturing process of a component from a pressure vessel, known as Head or End, was accompanied. Using the methodology obtained from literatures it was possible to execute the relative and logarithmic deformation measurements of these components and compare with the obtained results by means of equations presented in the Standards as AD-Merkblatt and ASME (for pressure vessels). The found results were also compared with the logarithmic methodology, taking into account the deformation of the empirical mesh and the thickness of the components studied. It is possible to conclude from this study that despite the existence of empirical methods of measurement of strain rate in components plastically formed, it is recommended the adoption in all situation of the component manufacturing standard. It can be noticed and explained during the development of this study and through the results found

Comparison between the complete Bayesian method and empirical Bayesian method for ARCH models using Brazilian financial time series

In this work we compared the estimates of the parameters of ARCH models using a complete Bayesian method and an empirical Bayesian method in which we adopted a non-informative prior distribution and informative prior distribution, respectively. We also considered a reparameterization of those models in order to map the space of the parameters into real space. This procedure permits choosing prior normal distributions for the transformed parameters. The posterior summaries were obtained using Monte Carlo Markov chain methods (MCMC). The methodology was evaluated by considering the Telebras series from the Brazilian financial market. The results show that the two methods are able to adjust ARCH models with different numbers of parameters. The empirical Bayesian method provided a more parsimonious model to the data and better adjustment than the complete Bayesian method.

Factors affecting the adoption of green supply chain management practices in Brazil: Empirical evidence

The aim of this study is to identify and analyse the factors that affect the adoption of Green Supply Chain Management practices based on empirical evidence from the Brazilian electronics sector. Data are collected in a survey of 100 electronics companies and analysed using statistical analysis of variance and regression methods. The study finds that the size of the company, previous experience with Environmental Management Systems, and the use of hazardous inputs are positively correlated with GSCM practices adoption. Surprisingly, formal pressure from the stronger tier/player in the supply chain is not correlated with the adoption of GSCM practices. Finally, we present some explanations for these findings and suggestions for future research. © 2013 Copyright Taylor and Francis Group, LLC.

A useful empirical bayesian method to analyse industrial data from saturated factorial designs

The use of saturated two-level designs is very popular, especially in industrial applications where the cost of experiments is too high. Standard classical approaches are not appropriate to analyze data from saturated designs, since we could only get the estimates of the main factor effects and we would not have degrees of freedom to estimate the variance of the error. In this paper, we propose the use of empirical Bayesian procedures to get inferences for data obtained from saturated designs. The proposed methodology is illustrated assuming a simulated data set. © 2013 Growing Science Ltd. All rights reserved.

The bias in reversing the Box-Cox transformation in time series forecasting: An empirical study based on neural networks

The Box-Cox transformation is a technique mostly utilized to turn the probabilistic distribution of a time series data into approximately normal. And this helps statistical and neural models to perform more accurate forecastings. However, it introduces a bias when the reversion of the transformation is conducted with the predicted data. The statistical methods to perform a bias-free reversion require, necessarily, the assumption of Gaussianity of the transformed data distribution, which is a rare event in real-world time series. So, the aim of this study was to provide an effective method of removing the bias when the reversion of the Box-Cox transformation is executed. Thus, the developed method is based on a focused time lagged feedforward neural network, which does not require any assumption about the transformed data distribution. Therefore, to evaluate the performance of the proposed method, numerical simulations were conducted and the Mean Absolute Percentage Error, the Theil Inequality Index and the Signal-to-Noise ratio of 20-step-ahead forecasts of 40 time series were compared, and the results obtained indicate that the proposed reversion method is valid and justifies new studies. (C) 2014 Elsevier B.V. All rights reserved.